import torch
from torch import nn

inputs = torch.tensor([1, 2, 3],dtype=torch.float32)
targets = torch.tensor([1, 2, 5],dtype=torch.float32)
inputs = torch.reshape(inputs, (1, 1, 1, 3))
targets = torch.reshape(targets, (1, 1, 1, 3))
loss = nn.L1Loss(reduction="sum")
result = loss(inputs, targets)
loss_mse=nn.MSELoss()
result_mse=loss_mse(inputs,targets)
print(result)
print(result_mse)